Evidence map›Paper›PMID 30875824›Full record

ArticleNutrients2019

Associations between Macronutrient Intakes and Obesity/Metabolic Risk Phenotypes: Findings of the Korean National Health and Nutrition Examination Survey.

Ha-Na Kim, Sang-Wook Song

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Precision Nutrition: Recent Advances in Obesity.Physiology (Bethesda, Md.) · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Metabolically healthy obesity: facts and fantasies.The Journal of clinical investigation · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ha-Na KimDepartment of Family Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. onef01@catholic.ac.kr.ORCID 0000-0002-4769-7234
Sang-Wook SongDepartment of Family Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. sswkoj@unitel.co.kr.ORCID 0000-0001-9087-5019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a risk factor for many health issues, as are metabolic abnormalities. However, few studies have addressed the associations between obesity/metabolic risk phenotypes and dietary macronutrient intakes (carbohydrate, protein, and fat). Therefore, this study examined the associations between macronutrient intakes and obesity/metabolic risk phenotypes in a Korean population. We used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional survey of Korean civilians, conducted in 2014 and 2016, and data on a total of 7374 participants were analyzed. Macronutrient intakes were defined as the proportions of energy derived from carbohydrate, protein, and fat. Those exhibiting obesity/metabolic risk phenotypes (or not) were divided into four groups: normal weight without metabolic abnormalities; obese without metabolic abnormalities; normal weight with metabolic abnormalities; and obese with metabolic abnormalities. After adjusting for age, smoking status, alcohol consumption, extent of physical activity, household income, and daily fiber intake, no association was found between the proportions of carbohydrate, protein, or fat intakes and obesity/metabolic risk phenotypes except for a positive association between metabolically healthy but obese status and low protein intake in females. Further studies are required to evaluate the effects of macronutrient intakes on obesity/metabolic risk phenotypes and associated health outcomes.

Indexed as

Cross-Sectional StudiesDietDietary CarbohydratesDietary FatsDietary ProteinsFemaleHealth SurveysHumansMaleMetabolic SyndromeMiddle AgedNutrition SurveysObesityPhenotypeRepublic of KoreaRisk FactorsDietary CarbohydratesDietary FatsDietary Proteinsdietary carbohydratesdietary fatsdietary proteinsmetabolic syndromeobesity

Identifiers

PMID30875824
PMCPMC6471544

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.